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设计上的不可预测性:利用生成式人工智能寻找创新(德勤赞助).pdf

上传人: 明**** 编号:1013950 2025-12-21 11页 231.56KB

1、Unpredictable by Design:Finding Innovation with Generative AI(Gen AI)Deborah GoldenDeloitte US Chief Innovation OfficerA I M 2 2 3-SMANY BUSINESSES ARE USING GEN AI WRONG.Discovery ignites when we start asking better questions2)Repackaging data into insights1)Summarizing existing datasets3)Finding n

2、ew insights+connectionsTo drive true advantage,connect with AI as a collaborator not just an optimizer.Scale beyond efficiency gainsInnovation gapIncremental improvementCompounding advantageEMBRACE PRODUCTIVE UNPREDICTABILITYEmbed the breakthroughsSupport what starts differentscaling depends on what

3、 systems choose to growIncremental efficiencies add up to competitive edgeTranslate the sparksTurn messy fragments into testable ideasunpredictability drives discoveryStandardization paves the path to scaleSpot the edgesFocus on outlierstheyre often where advantage begins and others havent lookedSta

4、ged,linear processes keep progress focusedUnlearn old assumptions embrace new logicForge a new path with Gen AI Pioneer value by:Get started in the next 90 days:2Map tasks for shared humanAI judgmentRedesign“co-pilot”use cases in daily workBuild reflection loops into every workflow1Find where data s

5、ilos hide untapped signalsUse Gen AI to surface non-obvious patterns or risksPilot tools that translate raw data into new insights3Launch edge labs to accelerate learningReward exploration over efficiencyShare edge wins to evolve core playbooksTranslate:Design workflows for human+AI partnershipSpot:

6、Find new insights+connections with Gen AIEmbed:Scale innovation by adapting the center to the edgeWHAT WILL YOU IMAGINE WITH GEN AI?Works cited1.)Sniderman,Golden,Holdowsky,et al.,“The neurodiversity advantage:How neuroinclusion can unleash innovation and create competitive edge,

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根据《Unpredictable by Design: Finding Innovation with Generative AI (Gen AI)》的内容,以下为全文关键点概括: 1. **Gen AI 应用误区**:许多企业错误地将Gen AI视为优化工具而非协作伙伴。 2. **创新驱动因素**:通过重新包装数据、总结现有数据集和发现新见解来激发创新。 3. **AI协作**:将AI视为合作伙伴而非仅优化器,以实现真正的优势。 4. **拥抱不可预测性**:通过标准化流程来扩展创新,同时关注边缘案例和异常值。 5. **Gen AI应用策略**: - 设计人机协作的工作流程。 - 利用Gen AI发现新见解和联系。 - 通过调整中心以适应边缘来扩展创新。 6. **行动建议**:在接下来的90天内启动项目,包括映射任务、重新设计“共飞行员”用例、建立反思循环等。 核心数据:未提及具体数据,但强调了Gen AI在创新和竞争优势中的重要性。
如何突破创新边界?" 效率提升还是创新飞跃?" Gen AI如何引领未来?"
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